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Camilo Miguel Signorelli - Consciousness interaction, from experiments to a multi-layer model

Series
Models of Consciousness
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One in a series of talks from the 2019 Models of Consciousness conference.
Camilo Miguel Signorelli
Department of Computer Science, University of Oxford

Empirical evidence regarding neural studies of consciousness and conscious perception is mainly unknown in fields such as physics and mathematics, or sometimes even misunderstood by many scientists inside the own field of consciousness research. A critical survey of these experiments reveals different aspects and dynamical features among distinct processes related to the conscious phenomenon. These features and distinctions need to be incorporated in any attempt of modelling consciousness and the study of mathematical structures of consciousness.

Therefore, part of that evidence is first reviewed to later generate a preliminary multi-layer model called Consciousness interaction, suitable for further mathematical generalization. In this “prototype” of theory, biological and cellular principles together with mathematical structures are fundamental ingredients and important complement for current physical descriptions such as dynamical systems, emergent, and sub-emergent properties. One advantage of the mentioned approach is the potential of reducing the apparent number of theories of consciousness to a few models, without the need for a single experiment. Moreover, new insights and empirical predictions are expected after this theoretical exercise, eventually producing a list of few experimental tests to verify or falsify current and future models of consciousness.

Filmed at the Models of Consciousness conference, University of Oxford, September 2019.
Creative Commons Licence
Creative Commons Attribution-Non-Commercial-Share Alike 2.0 UK (BY-NC-SA): England & Wales; https://creativecommons.org/licenses/by-nc-sa/2.0/uk/

Episode Information

Series
Models of Consciousness
People
Camilo Miguel Signorelli
Keywords
oxford
computer science
consciousness
neuroscience
mathematics
Department: Department of Computer Science
Date Added: 13/10/2019
Duration: 00:17:32

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Sean Tull - Generalised integrated information theories

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Models of Consciousness
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One in a series of talks from the 2019 Models of Consciousness conference.
Sean Tull
Department of Computer Science, University of Oxford

Integrated Information Theory (IIT), developed by Giulio Tononi and collaborators, has emerged as one of the leading scientific theories of consciousness. At the heart of IIT is an algorithm which, based on the level of integration of the internal causal relationships of a physical system in a given state, claims to determine the intensity and quality of its conscious experience. However, IIT is known to possess several technical problems, and is only applicable to simple classical physical systems. To be treated as fundamental, it should ideally be extended to more general physical theories.

In this work, we investigate the formal structure of IIT, and define a notion of generalised integrated information theory in order to address these problems. Formally such a theory specifies a mapping from a given theory of physics to one of conscious experience, each satisfying minimal conditions needed for the IIT algorithm.

In particular we show how a generalisation of IIT may be constructed from any suitable physical process theory, as described mathematically by a symmetric monoidal category. Specialising to classical processes yields IIT as usually defined, while restricting to quantum processes yields the recently proposed Quantum IIT of Zanardi et al. as a special case.

Filmed at the Models of Consciousness conference, University of Oxford, September 2019.
Creative Commons Licence
Creative Commons Attribution-Non-Commercial-Share Alike 2.0 UK (BY-NC-SA): England & Wales; https://creativecommons.org/licenses/by-nc-sa/2.0/uk/

Episode Information

Series
Models of Consciousness
People
Sean Tull
Keywords
oxford
computer science
consciousness
neuroscience
mathematics
Department: Department of Computer Science
Date Added: 13/10/2019
Duration: 00:20:23

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Stuart Hameroff - Anesthetic action on quantum terahertz oscillations in microtubules supports the Orch OR theory of consciousness

Series
Models of Consciousness
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One in a series of talks from the 2019 Models of Consciousness conference.
Stuart Hameroff
Center for Consciousness Studies, University of Arizona, Tucson, Arizona

The Penrose-Hameroff ‘Orchestrated objective reduction’ (‘Orch OR’) theory suggests consciousness arises from ‘orchestrated’ quantum superpositioned oscillations in microtubules inside brain neurons. These evolve to reach threshold for Penrose ‘objective reduction’ (‘OR’) by E=h/t (E is the gravitational self-energy of the superposition/separation, h is the Planck-Dirac constant, and at the time at which Orch OR occurs) to give moments of conscious experience. Sequences, interference and resonance of entangled moments govern neurophysiology and provide our ‘stream’ of consciousness. Anesthetic gases selectively block consciousness, sparing non-conscious brain activities, binding by quantum coupling with aromatic amino acid rings inside brain proteins. Genomic, proteomic and optogenetic evidence indicate the microtubule protein tubulin as the site of anesthetic action. We (Craddock et al, Scientific Reports 7,9877, 2017) modelled couplings among all 86 aromatic amino acid rings in tubulin, and found a spectrum of terahertz (‘THz’) quantum oscillations including a common mode peak at 613 THz. Simulated presence of 8 different anesthetics each abolished the peak, and dampened the spectrum proportional to anesthetic potency. Non-anesthetic gases which bind in the same regions, but do not cause anesthesia, did not abolish or dampen the THz activity. Orch OR is better supported experimentally than any other theory of consciousness.

Filmed at the Models of Consciousness conference, University of Oxford, September 2019.
Creative Commons Licence
Creative Commons Attribution-Non-Commercial-Share Alike 2.0 UK (BY-NC-SA): England & Wales; https://creativecommons.org/licenses/by-nc-sa/2.0/uk/

Episode Information

Series
Models of Consciousness
People
Stuart Hameroff
Keywords
oxford
computer science
consciousness
neuroscience
mathematics
Department: Department of Computer Science
Date Added: 13/10/2019
Duration: 00:24:55

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Sir Roger Penrose - AI, Consciousness, Computation, and Physical Law

Series
Models of Consciousness
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One in a series of talks from the 2019 Models of Consciousness conference.
Sir Roger Penrose
Mathematical Institute, University of Oxford

A common scientific view is that the actions of a human brain could, in principle, be simulated by appropriate computation, and even that it may not be too far into the future before computers become so powerful that they will be able to exceed the mental capabilities of any human being. However, by using examples from chess and mathematics, I argue, that the quality of conscious understanding is something essentially distinct from computation. Nevertheless, I maintain that the action of a conscious brain is the product of physical laws, whence consciousness itself must result from physical processes of some kind. Yet physical actions, over a huge range, can be simulated very precisely by computational techniques, as is exemplified by the LIGO gravitational wave detectors confirming precise calculations, within Einstein’s general relativity theory, of signals from black-hole encounters in distant galaxies.

Despite this, I argue that there is a profound gap in our understanding of how Einstein’s theory affects quantum systems, and that there is reason to believe that the events termed “collapse of the wave-function” take place objectively (gravitational OR), in a way that defies computation, yet should be observable in certain experiments. It is argued that each such event is accompanied by a moment of “proto-consciousness”, and that actual consciousness is the result of vast numbers of such events, orchestrated in an appropriate way so as to provide an actual conscious experience (Orch-OR).

Filmed at the Models of Consciousness conference, University of Oxford, September 2019.
Creative Commons Licence
Creative Commons Attribution-Non-Commercial-Share Alike 2.0 UK (BY-NC-SA): England & Wales; https://creativecommons.org/licenses/by-nc-sa/2.0/uk/

Episode Information

Series
Models of Consciousness
People
Roger Penrose
Keywords
oxford
computer science
consciousness
neuroscience
mathematics
Department: Department of Computer Science
Date Added: 13/10/2019
Duration: 00:47:42

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Xerxes Arsiwalla - Computing Meaning from Conceptual Structures in Integrated Information Theory

Series
Models of Consciousness
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One in a series of talks from the 2019 Models of Consciousness conference.
Xerxes Arsiwalla
Institute for Bioengineering of Catalonia Barcelona, Spain

Theories of consciousness such as Integrated Information Theory (IIT) and its various approximations are grounded on intrinsic information and causal dynamics. However, what seems to be missing or at least is not explicitly addressed in this framework is the role of meaning. One could argue that conscious experience not only generates information, but also meaning. We postulate that meaning associated to experience is intrinsically generated, is compositional, specific and integrated. How can this be formalized within the context of IIT? Here we propose a framework for computing the compositional meaning of the maximally irreducible conceptual structure or Q-shape in IIT.

A Q-shape is a set of concepts and their relations. To compute the meaning of a Q-shape we apply the category theoretic formulation of Distributional Semantics, used in natural language processing. This assigns to every concept in the Q-shape, a distributional meaning and a grammatical type. By consistency, concepts with very high phi (core concepts) will be the most pertinent for the experience at that specific instance. The distributional meaning of each core concept depends on its relations to all other concepts in the Q- shape and can be computed using a vector space spanned by a basis of concepts as is done in Distributional Semantics.

The grammatical types associated to core concepts are constrained by their relations to other core concepts. Furthermore, a pre-group algebra imposes ordering of grammatical types. We then show how the sub-network of core concepts in the Q-shape can be identified with a category theoretic process diagram. The compositional meaning of this process diagram is computed within a monoidal category and yields the meaning associated to the experience. We demonstrate this computation with a simple toy model. Finally, we comment on how meaning imposes phenomenologically relevant constraints to any information-based theory of consciousness.

Filmed at the Models of Consciousness conference, University of Oxford, September 2019.
Creative Commons Licence
Creative Commons Attribution-Non-Commercial-Share Alike 2.0 UK (BY-NC-SA): England & Wales; https://creativecommons.org/licenses/by-nc-sa/2.0/uk/

Episode Information

Series
Models of Consciousness
People
Xerxes Arsiwalla
Keywords
oxford
computer science
consciousness
neuroscience
mathematics
Department: Department of Computer Science
Date Added: 13/10/2019
Duration: 00:29:50

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Adam Barrett - Integrated information theory: a perspective on `weak’ and `strong’ versions

Series
Models of Consciousness
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One in a series of talks from the 2019 Models of Consciousness conference.
Adam Barrett
Sackler Centre for Consciousness Science, University of Sussex, UK

Integrated Information Theory (IIT) has gained a lot of attention for potentially explaining, fundamentally, what is the physical substrate of consciousness. The foundational concepts behind IIT were extremely innovative, and it has been very exciting to see certain predictions being upheld in experiments. However, many problems have been uncovered with the mathematical formulae that IIT proposes for measuring consciousness exactly. This has led to fragmentation amongst consciousness researchers, between those who accept IIT, and those who reject IIT.

In this talk, I make the case for a `weak’ form of IIT as a pillar of a future theory of consciousness, and summarise some of the problems with `strong’ IIT. Weak IIT maintains that neural correlates of consciousness must reflect two key aspects of phenomenology.

First, that each conscious moment is extremely informative (it is one of a vast repertoire of possible experiences). Second, that each conscious experience is integrated (it is experienced as a coherent whole). I review some of the empirical evidence for this, in the form of greater diversity and connectivity in observed neural dynamics from conscious versus unconscious humans. I then discuss how the Phi measure of integrated information is not well-defined, and not unique given the axioms of IIT, and hence that the current version of strong IIT should be rejected. I conclude with some discussion on possible ways forward.

Filmed at the Models of Consciousness conference, University of Oxford, September 2019.
Creative Commons Licence
Creative Commons Attribution-Non-Commercial-Share Alike 2.0 UK (BY-NC-SA): England & Wales; https://creativecommons.org/licenses/by-nc-sa/2.0/uk/

Episode Information

Series
Models of Consciousness
People
Adam Barrett
Keywords
oxford
computer science
consciousness
neuroscience
mathematics
Department: Department of Computer Science
Date Added: 13/10/2019
Duration: 00:20:15

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Johannes Kleiner - On the Mathematical Basis of Models of Consciousness

Series
Models of Consciousness
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One in a series of talks from the 2019 Models of Consciousness conference.
Johannes Kleiner, Institute for Theoretical Physics, Leibniz University of Hannover.

The goal of this talk is to discuss the mathematical basis of models of consciousness, most notably the question of which mathematical structure one is to use to describe experience in any formal theory.

This question is inextricably linked with the conceptual basis of models of consciousness.

After briefly reviewing the various choices made in existing models, I explain how a systematic answer to this question can be constructed based on a further development of the concepts introduced by Thomas Nagel and David Chalmers. If time permits, I will outline how this leads to a full mathematical framework for models of consciousness.

Filmed at the Models of Consciousness conference, University of Oxford, September 2019 - https://models-of-consciousness.org/
Creative Commons Licence
Creative Commons Attribution-Non-Commercial-Share Alike 2.0 UK (BY-NC-SA): England & Wales; https://creativecommons.org/licenses/by-nc-sa/2.0/uk/

Episode Information

Series
Models of Consciousness
People
Johannes Kleiner
Keywords
oxford
computer science
consciousness
neuroscience
mathematics
Department: Department of Computer Science
Date Added: 13/10/2019
Duration: 00:21:03

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Models of Consciousness

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Models of Consciousness
The scientific study of consciousness is a young and thriving field, encompassing empirical and theoretical research of multiple disciplines. This conference aims to bring together researchers whose scientific activity relates to the theoretical and mathematical foundations of this field and to thereby promote the study and creation of models of consciousness and formal approaches to the mind-matter relation.

The inaugural conference took place from 9-12 September 2019 in the beautiful Mathematical Institute of the University of Oxford.

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Literary Allusion in Harry Potter

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TORCH | The Oxford Research Centre in the Humanities
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J.K. Rowling’s imagination is fired by the past. How do historical objects illuminate the real-world sources of her ideas?
In this interview Dr Beatrice Groves, author of Literary Allusion in Harry Potter, explores how Harry Potter works its magic on the stories and stuff of the past.

Dr Groves blogs at Bathilda's Notebook on Mugglenet, where you can find out more about the real history behind Hogwarts’ creation.
Creative Commons Licence
Creative Commons Attribution-Non-Commercial-Share Alike 2.0 UK (BY-NC-SA): England & Wales; https://creativecommons.org/licenses/by-nc-sa/2.0/uk/

Episode Information

Series
TORCH | The Oxford Research Centre in the Humanities
People
Beatrice Groves
Victoria McGuinness
Keywords
literature
Harry Potter
J K Rowling
literary allusion
Department: The Oxford Research Centre in the Humanities (TORCH)
Date Added: 11/10/2019
Duration: 00:20:32

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Calcium is at the Coeur of Normal Heart Function and Disease

Series
Public Lecture Podcasts from the Department of Physiology, Anatomy and Genetics
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Donald M. Bers delivers the Newton Abraham Professor Lecture, 2019. The lecture discusses the mechanisms by which calcium orchestrates cardiac function in health and is also involved in heart failure and life-threatening arrhythmias.

Episode Information

Series
Public Lecture Podcasts from the Department of Physiology, Anatomy and Genetics
People
Donald M. Bers
Keywords
heart
calcium
cardiac function
cardiac
Department: Department of Physiology, Anatomy and Genetics (DPAG)
Date Added: 08/10/2019
Duration: 00:47:24

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